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Medicaid Work Requirements

The reconciliation law Congress passed in July 2025 obliges every state to check whether adults in the Medicaid expansion group work, study or volunteer. Republicans present it as the return of the work rule Bill Clinton signed for welfare; Democrats want it repealed. Nebraska started in May 2026, federal implementing rules followed in June 2026, and the requirement becomes national in January 2027.

  • 326 billion dollars of federal Medicaid spending saved over ten years, the largest single item among the law's Medicaid provisions [1]
  • 5.3 million more people without insurance in 2034 from this provision alone [1][12]
  • Over 18,000 adults lost coverage in Arkansas within nine months under the same rule in 2018, with no measurable rise in employment [3][4]

The proposal

From January 2027, adults in the Medicaid expansion group must show 80 hours a month of work, study or volunteering, half-time schooling, or earnings of at least 580 dollars a month to keep their coverage.

The debate

Republicans argue that able-bodied adults without young children should work, train or volunteer in return for public coverage. The savings, they say, keep Medicaid for children, the elderly and people with disabilities. Democrats answer that most of those affected already work and will lose coverage through paperwork, not idleness. The House passed the law by four votes on 3 July 2025, and the Senate only with the Vice President's tie-breaking vote, without a single Democrat in favor.

  • “However, for able-bodied adults without kids, yes, you should try to work, just like in the 1990s, just like under President Bill Clinton.”

    argues for: Nick Langworthy, Republican, New York House floor, 2 July 2025

  • “People are already struggling to get by as prices on everyday expenses skyrocket, and now millions of Americans will lose their health care not because they’re not working, but simply because they got buried in paperwork.”

    argues against: Frank Pallone, Democrat, New Jersey Press release, 1 June 2026

The analysis

Medicaid Work Requirements

48% of the weight is for, 52% against.

An argument's weight combines three questions: how big the effect is, how certain it is and how much the good at stake matters. The larger the slice, the more the argument weighs.

For

Against

Whether the Medicaid work requirement is a good measure, the analysis leaves open; on average it comes out slightly behind.

Unclear

Unclear: Under the assumptions used, the proposal brings more than it costs in 49 of 100 model runs.

 Overall effect: large

How strongly the proposal works overall, in five steps from very small to very large, comparable across all debates. The ring is always full, even when the overall effect is small; this step says how large it is.

Neither camp's main argument decides the result. A single large saving stands against the coverage that millions of people lose, counted as deaths, untreated illness and bills landing on the poorest households. The Republican hope that people move into work weighs almost nothing, because Arkansas tested the same rule and employment did not rise. The Democratic point about paperwork is right about who loses coverage, yet the hours of reporting themselves are small; what weighs is the coverage lost. Two quantities would settle it: the deaths per year of lost coverage, where estimates differ threefold, and what coverage is worth to people this poor.

In detail

All arguments

Arguments for2 arguments

Federal Medicaid spending falls

30points

The requirement is the single largest saving in the 2025 law's Medicaid provisions, scored at 326 billion dollars of spending over ten years, less 8.65 billion of tax revenue that goes with it. Almost all of it comes from people leaving the programme rather than from anyone finding work. Part of it does not stay saved, because people without coverage still turn up in emergency rooms.

Value 5 · Public financesImpact 9.3Plausibility 6.5
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Value

The stream is federal money, priced at the middle of the scale like every other dollar on this site. Public money is not treated as worth more or less than private money; the difference between what a dollar is worth to a government and what it is worth to a household at the other end of the transfer is counted in the Impact. Nothing about what Medicaid buys enters here, because that is counted on the other side of the ledger. Nor does the deficit make the saving worth more: reducing borrowing shifts who pays and when, and that shift is inside the dollar figure already. The value is the middle of the scale, the level this site uses for public money whatever it is spent on.

Impact

The budget office scores the work requirement at 326 billion dollars of reduced federal Medicaid spending over ten years, the largest single item among the law's Medicaid provisions; the same estimate carries 8.65 billion dollars of lost federal revenue over the decade, because some of those who leave move into employer coverage that is exempt from tax [1]. Net, that is about 317 billion dollars, 31.7 billion a year. The requirement begins in January 2027 and states phase it in over the following year, so about 85 percent of the annual rate is reached across the four years counted here: about 27 billion dollars. Not all of that stays saved. People who lose coverage do not stop getting ill; they arrive at emergency departments, where the bill is written off. When Tennessee removed adults from Medicaid in 2005, each person who became uninsured added close to 900 dollars a year of unpaid hospital care, two thirds of it absorbed by the hospitals and a third passed on to other payers [13]. For this law, hospitals in expansion states are projected to write off 7.0 to 8.0 billion dollars more in 2027 for 5.1 to 5.8 million newly uninsured, about 1,400 dollars a person [11]. For 4.0 million people that is about 5.4 billion dollars, a fifth of the federal saving, in a range from 5 to 35 percent; it is subtracted because the care goes on and somebody else pays for it, leaving about 21.6 billion dollars a year. The federal dollar carries the standard weight of one. The Impact is the largest in this debate, and it is large because the saving comes from removing coverage rather than from anyone changing their behaviour.

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Federal Medicaid spending the requirement removes, net of the revenue lost with it the budget office's estimate for the enacted law; converted at 1.16 dollars to the euro [1] 326 billion dollars less 8.65 billion of revenue over ten years, about 31.7 billion a year 27.4 billion euro-equivalent
× Share reached across the first four years Setting, range 70 to 100 percent: the requirement starts in January 2027 and states phase it in over the following year 85 % 23.3 billion euro-equivalent
− Care that reappears as unpaid hospital bills Setting, range 5 to 35 percent: each person left uninsured when Tennessee cut Medicaid added close to 900 dollars a year of unpaid hospital care, and hospitals in expansion states are projected to write off 7.0 to 8.0 billion dollars more in 2027 for 5.1 to 5.8 million newly uninsured; that care goes on and is paid by hospitals, other payers and public write-off funds, so it is not a saving [11][13] 4.0 million people × about 1,400 dollars = 4.7 billion euro-equivalent, about a fifth 18.6 billion euro-equivalent
× Weight of a dollar in the federal budget the standard weight for public money on this site, against 2.5 on the receiving side 1.0 18.6 billion euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 9.3
Score 9.3 Impact × 5 Value × 6.5 Plausibility ÷ 10 = 30 of 100

Plausibility

That fewer people on Medicaid means less Medicaid spending is arithmetic, not a prediction. What has to be shown is that people do in fact leave, and here there is more than a model. Arkansas ran the requirement for nine months in 2018: more than 18,000 adults lost coverage, and the study that measured it compared 30-to-49-year-olds, who were subject to the rule, against younger and older adults in the same state and against adults in Kentucky, Louisiana and Texas [3]. The confounder that would otherwise dominate — that Arkansas was on a different economic path — is what the three comparison states are there to absorb, and the age comparison inside the state absorbs the rest. Reverse causation does not arise, because the rule was imposed by the state and not chosen by the people it removed. Georgia's programme and New Hampshire's short-lived one point the same way [5]. What is estimated rather than observed is the size at national scale, and that doubt is carried by the range around each step rather than here. The Plausibility is high for a budget saving: the disenrolment it rests on has been observed under a comparison design, and only the national scale is projected.

Evidence: Multiple precedents · plausibility at most 8 Evidence of effect: Quasi-experimental · at most 8

More people in paid work

0.31points

The stated purpose of the requirement is to move people from the programme into employment. Arkansas ran the same rule for nine months and the effect was measured. It was not found.

Value 6 · OutputImpact 0.3Plausibility 2
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Value

The stream is output that would not otherwise exist: hours worked by people who would not have worked them. That belongs to the class this site uses for economic systems and prosperity, a step below the money it is measured in only because production is a broader good than a budget line. The earnings themselves are not the value — they are a transfer from an employer to a worker — so what is counted is the goods and services produced, net of the time the worker gives up to produce them. Whether the work is good for the person in other ways is not priced here. The value sits in the middle-upper part of the scale, at the level this site uses for economic output.

Impact

The claim is that some people subject to the requirement take a job they would otherwise not have taken. The population at risk of losing coverage is about 4.0 million on average across the four years [1]. If one in forty of them responds by working the required 80 hours a month rather than leaving the programme, that is 100,000 people, in a range from 40,000 to 250,000 if the effect occurs at all; whether it does is a question of plausibility. Eighty hours a month at the wages available to this group is about 15,000 dollars a year. What society gains is not the wage but the production behind it, net of the time given up, and about 40 percent is used for that share. The result is about 600 million dollars a year. The figure is set at the upper edge of what the Arkansas measurement could not rule out, not at the centre of what its authors found. The Impact is small even on generous assumptions, because the number of people who both would have left and would instead work is a narrow slice of a large group.

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People at risk of losing coverage, yearly average [1] 4 million people
× Share who take a job instead of leaving Setting, range 1 to 6 percent if the effect occurs, whether it occurs being a question of plausibility; the centre is the upper edge of what the Arkansas measurement could not rule out, not the centre of what it found [3] 2.5 % 100,000 people
× Earnings from 80 hours a month the wages available to this group, converted at 1.16 dollars to the euro 13,000 euro-equivalent a year (about 15,000 dollars) 1,300 million euro-equivalent
× Production net of the time given up Setting, range 25 to 60 percent: the wage is a transfer from employer to worker, so what counts is the output behind it less the time the worker surrenders 40 % 520 million euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 0.26
Score 0.26 Impact × 6 Value × 2 Plausibility ÷ 10 = 0.3 of 100

Plausibility

This is the one claim in the debate that has been tested directly, and the test came back empty. Arkansas applied the same 80-hour rule to adults aged 30 to 49 in 2018 and left younger and older adults alone, which makes the comparison inside the state as well as against Kentucky, Louisiana and Texas [3]. Employment in the affected group did not rise relative to any of those comparisons, either in the first year or after two [3][4]. A separate analysis using national survey data reached the same conclusion. The confounder that would matter — Arkansas's own labour market moving differently — is what the comparison states control for, and reverse causation cannot arise, since nobody chose to be aged 30 to 49. The usual reply is that Arkansas ran for only nine months before a court stopped it, which is fair and is why the figure above is not set at zero. But a measurement that found nothing is not the same as no measurement, and it is what places this argument where it is. The Plausibility is low because the effect claimed here was looked for under a proper comparison and did not appear.

Evidence: Precedent · plausibility at most 8 Evidence of effect: Quasi-experimental · at most 8 Placement: Effect did not materialise · plausibility 1.5–2

Open: Nebraska began in May 2026 and other states follow in 2027. An employment comparison of early against late adopters, run over two years, would settle this: a real effect would carry P to 6 or above, a second null would take the argument out of the ledger.

Arguments against5 arguments

Deaths among people who lose coverage

13points

About four million people a year lose Medicaid under the requirement, and most of them are working already but cannot document it. Coverage decides whether a cancer or a heart condition is found in time. How many deaths follow is contested by a factor of three.

Value 10 · LifeImpact 2.1Plausibility 6.5
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Value

The stream is people who die in a year and would otherwise have lived. Nothing on this site is weighted higher. The people concerned are adults between nineteen and sixty-four on very low incomes, a group with far more untreated chronic illness than the population as a whole: uncontrolled diabetes, heart disease, addiction, cancers found at a later stage. Losing coverage does not cause any of those; it decides whether the appointment that would have caught them happens. Only the deaths are priced here — illness that does not end in death is a separate argument, and the money is a third. The grief of those around each death is included at a tenth of the weight of the death itself. The value is the highest the scale allows, because the stream is human lives and nothing else is folded into it.

Impact

For the enacted law the budget office puts the coverage loss at 5.3 million more uninsured people in 2034 from this provision alone; the 4.8 million often quoted belongs to the earlier House version [1][12]. The office publishes a year-by-year path only for the law as a whole — 5.2 million in 2027, 6.8 million in 2028, 8.6 million in 2029, rising towards 10 million — and the requirement carries about half of the end figure, which gives roughly 2.8, 3.6, 4.6 and 4.8 million across the four years counted here, about 4.0 million a year on average [12]. How many deaths follow is the contested number in this debate. The measurement everyone starts from found annual mortality among low-income adults aged 55 to 64 falling 9.4 percent when Medicaid expanded [6]. Applied to the mortality rate of the whole 19-to-64 expansion group, which is younger but poorer and sicker than the general population, that gives one death for every 1,500 covered years — 2,667 deaths a year. The published estimate for this law is three times higher, at one death for every 460 people losing coverage, because it applies the measured effect without adjusting for the younger age mix [9]. A heavy age adjustment in the other direction gives one in 4,000. The range used here therefore runs from 1,000 to 5,800 deaths, and the grief of the bereaved adds a tenth on top. The Impact is the largest of the harms counted here, and its range spans a factor of six because the age adjustment is a judgment nobody has settled.

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People who lose coverage, yearly average the budget office's year-by-year figures exist only for the whole law; the requirement carries 5.3 of its 10 million in 2034 [1][12] 5.3 million in 2034 under the enacted law; about half of the law's total path of 5.2, 6.8 and 8.6 million across 2027 to 2029 and about 9 million in 2030, between 2029 and the 10 million of 2034 4 million people
÷ Deaths that follow Setting, range one per 460 to one per 4,000: annual mortality fell 9.4 percent for low-income adults aged 55 to 64 who gained Medicaid; applied to the mortality rate of the whole 19-to-64 expansion group. The published estimate for this law uses one per 460 [6][9] one per 1,500 covered years 2,667 deaths a year
× Value of the lives the value of a statistical life used across this site 1.4 million euro-equivalent each 3,733 million euro-equivalent
+ Grief of the bereaved the surcharge this site books alongside every stream of deaths 10 % of 2,667 cases × 1.4 million euro-equivalent 373 million euro-equivalent
= Total per year 4,106 million euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 2.05
Score 2.05 Impact × 10 Value × 6.5 Plausibility ÷ 10 = 13 of 100

Plausibility

Two things have to hold: that people lose coverage, and that losing it costs lives. The first is observed. Arkansas removed more than 18,000 adults in nine months under a comparison design that held the state's own trajectory and its neighbours' constant [3]. The second rests on the Medicaid expansions, compared between expanding and non-expanding states before and after 2014 on death records linked to survey data, with mortality moving in parallel beforehand [6]. The obvious objection — that expanding states differ in ways that also move mortality — is what that parallel period tests, and it holds. Reverse causation does not arise, because expansion was a state legislative act. A randomised trial in which the tax authority wrote to uninsured households points the same way [7]. What is not established is the size for a population two decades younger than the one measured, and that is exactly where the published estimates and this one part company. The Plausibility is above the middle: that coverage loss costs lives is established under two independent designs, and only how many is open.

Evidence: Converging studies · plausibility at most 8 Evidence of effect: Quasi-experimental · at most 8

The poorest households carry the risk again

12points

Everyone in the expansion group lives below 138 percent of the poverty line. Losing coverage means an illness now arrives with a bill attached, and there is nothing to pay it from. What that protection is worth is the receiving side of the saving counted on the pro side.

Value 5 · Household budgetsImpact 4.5Plausibility 5.5
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Value

The stream is money, and money is money whoever holds it, so it is priced at the middle of the scale. What is lost is a position rather than a sum: the certainty that an accident or a diagnosis will not also be a debt. That these households are the poorest in the country does not raise the value here; it raises the weight the dollar carries, which is counted in the Impact. Booking their poverty in both places would price the same fact twice. The health they lose is counted in the two arguments above and is not repeated here. The value is the middle of the scale, because what is lost is a money position and the poverty of those losing it is priced in the Impact.

Impact

The federal government stops paying about 27.7 billion dollars a year of medical costs for these households, and the question is what share of that they lose rather than the providers who were paid it [1]. The one systematic estimate of what Medicaid is worth to its recipients was derived from the Oregon lottery with a model of household consumption: between a fifth and two fifths of what it costs, most of which is the bill rather than the protection against it; nobody was asked, and the study reports no separate figure for the protection alone [10]. Fifteen percent is used here as the protection share, in a range from 5 to 30 percent, giving about 4.2 billion dollars. Everyone in the expansion group lives below 138 percent of the poverty line, which places them in the bottom fifth of American households, where this site counts a dollar at two and a half times its worth at median income. That gives a Normalised Impact of 4.49 on the scale of this evaluation. The care itself, and the health it produces, is counted in the two arguments above rather than here. The Impact is second only to the saving it mirrors, and the gap between the two is the whole economic case for the measure.

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Medical costs the federal government stops paying [1] about 27.7 billion dollars a year at 1.16 dollars to the euro, before the emergency-room leakage subtracted on the pro side 23.9 billion euro-equivalent
× Share that is protection rather than the bill itself Setting, range 5 to 30 percent: a model estimate on Oregon lottery data puts the value of coverage to recipients at a fifth to two fifths of its cost, and most of that is the bill rather than the protection against it; the protection share within that is this evaluation's own split [10] 15 % 3.59 billion euro-equivalent
× Weight of a dollar at these incomes everyone in the expansion group lives below 138 percent of the poverty line, in the bottom fifth of American households, where this site counts a dollar at 2.5 against 1.0 in the federal budget 2.5 8.97 billion euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 4.49
Score 4.49 Impact × 5 Value × 5.5 Plausibility ÷ 10 = 12 of 100

Plausibility

That losing insurance exposes a household to bills it cannot pay is not in dispute; what is estimated is how much that exposure is worth. The estimate used here is built on the same Oregon draw that carries the health findings, so the effects of coverage on spending and care are compared with the untreated arm of a lottery and the direction is not in question [10]. The value of that coverage to recipients is not measured there but derived from those effects through a model of household consumption, whose assumptions about preferences the lottery does not test. The 15 percent protection share is a further step this evaluation takes on its own; it is not a result of the study. Two things pull in opposite directions. Willingness to pay is bounded by what a household has, so for people this poor it understates what the protection is worth in any other sense. Against that, some of the care would have been written off unpaid anyway, so part of the exposure was never really theirs. The range from 5 to 30 percent is wide because both of those are unresolved. The Plausibility sits just above the middle: the inputs are randomised and on this population, but the value is a model's derivation and the share used here is this evaluation's own split of it.

Evidence: Study · plausibility at most 6 Evidence of effect: Mechanistic · at most 6

Illness that goes untreated

5.6points

Most of what Medicaid does never shows up in a death certificate: a depression that is treated, a prescription filled, a condition managed rather than left. The Oregon lottery measured exactly this population against a randomly chosen control group. It found a large mental-health effect and no change in blood pressure, cholesterol or blood sugar.

Value 9 · HealthImpact 1.0Plausibility 6.5
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Value

The stream is health lost short of death: depression that returns untreated, pain that goes on, a chronic condition that drifts. It belongs to the same class as the deaths above and sits one step below the top of it, because what is lost here can in principle be regained and a life cannot. What is counted is the person's own condition, not what anyone else pays as a result; the money moves in the arguments beside this one. Where an untreated depression means somebody stops working, that loss is theirs and is not booked again as an employer's. The value sits one step below the maximum: the stream is health itself, but health that can be regained.

Impact

About 4.0 million people a year lose coverage under the requirement across the four years counted here, derived above from the budget office's 5.3 million for 2034 [1][12]. What each covered year was worth in health is the only part of this that has been measured against a random control group. Oregon drew names by lot for its Medicaid expansion in 2008, and two years on the people who were drawn showed a 30 percent lower rate of depression, more preventive care and far less financial strain, with no measurable difference in blood pressure, cholesterol or blood sugar [8]. The depression finding alone is worth roughly 0.014 healthy life years per covered year for that group. The expansion population is somewhat less poor than Oregon's applicants, so 0.012 is used here, in a range from 0.005 to 0.020. Across 4.0 million covered years that is 48,000 healthy life years a year. Only the outcome the trial actually found is booked; the physical markers it did not find are left out. The Impact is a fifth of the deaths in weight, because a covered year buys a modest amount of measurable health across a very large number of people.

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People who lose coverage, yearly average [1][12] about half of the law's path of 5.2, 6.8 and 8.6 million uninsured across 2027 to 2029 and about 9 million in 2030; 5.3 million in 2034 from this provision 4 million people
× Healthy life years lost Setting, range 0.005 to 0.020: the Oregon lottery measured a 30 percent fall in depression and no change in blood pressure, cholesterol or blood sugar; that finding alone is worth about 0.014 healthy life years a year for a slightly poorer group [8] 0.012 per covered year 48,000 healthy life years
× Value of the healthy life years the value of a healthy life year used across this site 40,000 euro-equivalent each 1,920 million euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 0.96
Score 0.96 Impact × 9 Value × 6.5 Plausibility ÷ 10 = 5.6 of 100

Plausibility

The counterfactual here is as clean as it gets in health research: the people who were not drawn in Oregon's lottery. Assignment was by lot among applicants, so the compared groups differ only in whether their name came up, and neither reverse causation nor selection into coverage can arise [8]. The confounder that would otherwise dominate — healthier or more organised people obtaining coverage — is removed by the draw itself. Two limits apply. The trial ran in one state, and its physical-health results were null, so a claim resting on it must stay inside what it found. This argument does, booking the mental-health stream and nothing else. The remaining stretch is that Oregon measured people gaining coverage while this argument concerns people losing it, and the two need not be symmetric — someone who has had a diagnosis and a prescription for three years loses more than a new enrollee gains. That asymmetry runs against the argument's own direction, so the figure stays where it is rather than rising. The Plausibility is above the middle: the finding is randomised and on this very population, and what is stretched is the direction rather than the setting.

Evidence: Study · plausibility at most 8.5 Evidence of effect: Experimental · at most 8.5

The checking machinery costs money of its own

2points

Somebody has to build the systems that match employment records against enrolment files, and staff the offices that handle what the matching cannot resolve. Georgia has run this for three years: two thirds of what it spent went on administration rather than on care. The national version is cheaper per head, but it covers eighteen million people.

Value 5 · Enforcement costImpact 0.8Plausibility 5
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Value

The stream is public money spent on running the rule rather than on anything the rule produces, priced at the middle of the scale like every other dollar. It is separate from the saving on the pro side because it is a genuine cost rather than a transfer: the staff hours and the software exist and are consumed. Whether the money comes from the federal government or from the states does not change the weight, since both carry the standard weight for public money. The time the rule costs enrollees is counted separately, because it falls on different people. The value is the middle of the scale, the level this site uses for public money whatever it is spent on.

Impact

The requirement applies to roughly 18 million adults in the expansion group, each of whom must be checked at enrolment and at least twice a year afterwards [2]. Georgia is the only place where the full cost of doing this has been audited: through April 2025 its programme had spent 54.2 million dollars on administration against 26.1 million on health care, and less than one dollar in three of its total went to benefits [5]. That programme covered only a few thousand people, so its cost per head is not transferable; the building of an eligibility system is a one-off that a national scheme spreads across a far larger base. What does transfer is that the checking is not cheap. About 105 dollars per person subject to the rule per year is used here, in a range from 45 to 230 — roughly what other means-tested federal programmes cost to administer per participant. Across 18 million people that is about 1.9 billion dollars a year. The Impact is modest against the saving but not negligible: it consumes about a twelfth of what the requirement saves.

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Adults subject to the requirement [2] 18 million people
× Cost of checking each of them Setting, range 40 to 200 euro-equivalent (about 45 to 230 dollars): roughly what other means-tested federal programmes cost to administer per participant; Georgia's audited programme spent two thirds of its money on administration, but on a base of a few thousand people [5] 90 euro-equivalent a year (about 105 dollars) 1,620 million euro-equivalent
× Weight of a dollar in public budgets the standard weight for public money on this site 1.0 1,620 million euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 0.81
Score 0.81 Impact × 5 Value × 5 Plausibility ÷ 10 = 2 of 100

Plausibility

That the rule costs money to run is not in question; the precedents show only that it costs a great deal more than its designers expected [5]. The counterfactual for Georgia is the same state's ordinary Medicaid administration, against which the Pathways programme's costs are an addition, and the audit reports both. What no source supplies is a per-person figure for a national scheme at scale, and that is what the argument needs. The figure of about 105 dollars used here is built from what comparable means-tested programmes cost to administer, not measured for this one. Every link in the chain is visible — a rule requires checks, checks require data systems and staff, staff and systems cost money — and the counter-argument, that automated data matching will resolve most cases without human involvement, is real and is why the figure sits well below Georgia's. What is missing is a measurement. The Plausibility is at the top of the range for a claim whose steps are all visible and whose size nobody has counted at national scale.

Evidence: Precedent · plausibility at most 6 Evidence of effect: Mechanistic · at most 6 Placement: Chain closed, unevidenced · plausibility 4–5

Open: State implementation budgets for 2027 will show the actual per-person cost within a year of the start, which would replace the setting with a measurement and could move P to 7 or above.

Reporting hours, twice a year, forever

0.18points

Everyone who keeps coverage under the requirement has to prove they qualify, over and over. Where employment records can be matched automatically nobody notices; where they cannot, somebody assembles pay stubs. Around a million people a year also contest a removal.

Value 9 · Life timeImpact 0.04Plausibility 5
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Value

The stream is time people must spend and get nothing back for: finding pay stubs, uploading them, telephoning an office, sitting through an appeal. This site treats time of that kind as part of a person's life rather than as an inconvenience, which places it near the top of the scale. It is not the same as time somebody chooses to spend, and the people spending it here are among the least able to take an afternoon off. What an hour is worth and how many there are are separate questions, both set out in the derivation. Coverage lost through the same process is counted in the arguments above and not repeated here. The value is high because the stream is hours of life spent under compulsion, not a convenience that is lost.

Impact

Roughly 18 million adults are subject to the requirement and must be checked at least twice a year [2]. States are required to use employment and wage data they already hold before asking anyone directly, and where that works the enrollee spends no time at all; about three in five cases are assumed to clear that way, in a range from two in five to four in five. That leaves 7.2 million people assembling documents twice a year at half an hour each, or 7.2 million hours. A quarter of them, in a range from a tenth to a half, are assumed to be flagged anyway and to spend another hour repeating the report — in Arkansas the portal was open only part of the day and reports frequently had to be redone [3] — which adds 1.8 million hours. Removals are a flow, not the stock of four million uninsured: a first wave in 2027 and churn afterwards, set at 3 million removals a year in a range from 2 to 5 million. One in three of those removed is assumed to contest the decision or to re-apply with documents, at two hours each, since in Arkansas most of those removed never reported at all and few appealed [3]: 2 million hours. That is about 11 million hours a year, valued at the rate this site uses for time spent under compulsion with nothing in return. The Impact is the smallest here by a wide margin, because half an hour twice a year is a small thing spread across a very large number of people.

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Adults subject to the requirement [2] 18 million people
× Share whose employment records cannot be matched automatically Setting, range 20 to 60 percent: states must use data they already hold first, and where that works the enrollee spends no time at all 40 % 7.2 million people
× Hours assembling documents, twice a year Setting, range a quarter to a full hour per episode: nobody has timed a Medicaid work report 2 × half an hour 7.2 million hours
+ Hours of people who report and are flagged anyway Setting, range 10 to 50 percent: the Arkansas portal was open only part of the day and reporting frequently had to be repeated [3] 25 % of 7.2 million people × 1 hour 9 million hours
+ Hours contesting a removal or re-applying Setting: removals are a flow of about 3 million a year (range 2 to 5 million — a first wave in 2027, churn afterwards), not the 4 million stock of uninsured; in Arkansas most of those removed never reported and few appealed, so one in three (range one in five to one in two) is assumed to contest or re-apply, at 1 to 4 hours each [3] 3 million removals a year × one in three × 2 hours 11 million hours
× Value of forced time the rate this site uses for time a person must spend with nothing in return 6.85 euro-equivalent an hour (about 7.90 dollars) 75 million euro-equivalent
÷ Normalised Impact scale of this evaluation 2 billion euro-equivalent a point 0.04
Score 0.04 Impact × 9 Value × 5 Plausibility ÷ 10 = 0.2 of 100

Plausibility

The chain is short and every link is visible: a documentation rule produces documentation, and documentation takes time. Arkansas supplies the counterfactual and the direction — before the rule nobody reported, after it everybody in the affected age band had to, and the state's own portal was open only part of the day, which is documented [3]. What no source supplies is how long it takes. Nobody has timed a Medicaid work report, and the half-hour and three-hour figures here are constructions rather than findings. The counter-argument that automated matching will make most of this invisible is a real one and is answered by assuming three in five cases clear without contact, which is the generous end of what states currently manage. Against that, the Arkansas experience suggests the people least able to report are exactly the ones the data cannot match. The Plausibility is at the top of the range for a claim whose steps are all visible and whose size nobody has measured.

Evidence: Precedent · plausibility at most 6 Evidence of effect: Mechanistic · at most 6 Placement: Chain closed, unevidenced · plausibility 4–5

Open: A time-use survey of enrollees in Nebraska, where the rule has run since May 2026, would replace both settings with measurements and could carry P to 7.

How robust the result is

Under the assumptions used, the proposal brings more than it costs in 49 of 100 model runs.

gains more than it costscosts more than it gains

Each dot stands for 200 of the 20,000 model runs.

The two numbers that carry this balance both sit inside ranges the simulation spreads. One death is taken as avoided for every 1,500 covered years, the cautious end of a range from one per 460 to one per 4,000; the published estimate for this law is three times higher [6][7][9]. What the disenrolled lose in coverage is valued at 15 percent of its cost to the government, in a range from 5 to 30 percent, after the one study that modelled what recipients would pay [10]. Outside the simulation stands the weight: a dollar in these households, all below 138 percent of the poverty line, counts at two and a half times a dollar in the federal budget. So weighted, the requirement comes out ahead in nearly five of ten runs and behind on average.

Show the distribution of the model runs

20,000 simulated futures

Unclear · 49 %

In 49 of 100 simulated futures the proposal brings more than it costs.

No effect is known exactly; every argument has a range. The calculation draws a possible size for each argument from its range 20,000 times and counts how often the benefits exceed the costs.

Net effect in points per future. Left of zero the drawbacks outweigh the benefits, right of zero the benefits win. Eight in ten futures fall between −22 and +14 points.
Scale and assessment

Scale of this evaluation: Normalised Impact, unitless and calibrated to this topic. For comparison, one point here corresponds to about 2 billion euro-equivalent a year.

Size class:large

Effect large (−5.9) · 48 % of the effect is positive

Areas show individual argument weights. The positive share of the effect nets out money transfers between the two sides; the probability of a positive net effect is determined separately.

How we score →

Review and sources

AI evaluation · not yet reviewed by a human

This evaluation was produced and sourced by an AI model; a human review is still pending. Figures and conclusions may still change. The review log is at the foot of the page.How review works →

Last reviewed by Claude Opus 5.5 · October 29, 2026 · 7× AI, not yet reviewed by a human
  1. October 29, 2026AI reviewClaude Opus 5.5record updated

    Page texts for the new page layout (draft G) with quotes from primary sources; numbers unchanged.

  2. October 21, 2026AI reviewClaude Fable 5.1record updated

    Money amounts in argument texts stated in dollars per style-en.md; scores, chains and balance unchanged

  3. October 20, 2026AI reviewClaude Fable 5.1record updated

    Summary and scale note rewritten to the style of 20 Oct 2026; numbers unchanged

  4. October 16, 2026AI reviewClaude Opus 5.5record updated

    Impact ranges added to all seven arguments from the settings in the derivations, combined in quadrature; the employment range now starts above zero, whether it occurs stays in P 2; P(D > 0) 0.387 → 0.489, still unclear.

  5. October 14, 2026AI reviewClaude Opus 5.5record updated

    Prüfbericht 11.10.: Maßnahmentext um alternative Erfüllungswege, 30-Tage-Klärung und Kinder bis 13 ergänzt (H06); con-3 Zahlungsbereitschaft als modelliert statt abgefragt, Identifikation mechanistisch, Deckel 6 (H07); Zahlen unverändert.

  6. September 14, 2026AI reviewClaude Opus 5re-scored

    Gesamtprüfung 08.09. nachgezogen: pro-1 nettet 8,65 Mrd $ Mindereinnahmen (i 19 → 18,6), Weiterbehandlungsabzug mit TennCare/Commonwealth belegt; con-5 Formularstunden als Kette statt Pauschale (i 0,38 → 0,075); Versichertenzahl auf beschlossenes Gesetz (5,3 Mio); r 0,477 → 0,477.

  7. September 6, 2026AI reviewClaude Opus 5First evaluation

    Created for the English side: the employment claim placed on the finding ladder against the Arkansas measurement.

Evaluations are produced with AI support and reviewed on a schedule for new developments; human passes are marked separately.How we review →

Show all 13 sourcesHide sources
  1. KFF: A Closer Look at the Work Requirement Provisions in the 2025 Federal Budget Reconciliation Law. kff.org
  2. KFF: 5 Key Facts About Medicaid Work Requirements. kff.org
  3. Sommers and others, New England Journal of Medicine 381: Medicaid Work Requirements — Results from the First Year in Arkansas. nejm.org
  4. Sommers and others, Health Affairs 39(9): Medicaid Work Requirements In Arkansas: Two-Year Impacts On Coverage, Employment, And Affordability Of Care. healthaffairs.org
  5. Georgia Budget and Policy Institute: Pathways to Coverage: Looking Back Two Years and Into the Future. gbpi.org
  6. Miller, Johnson and Wherry, Quarterly Journal of Economics 136(3): Medicaid and Mortality: New Evidence From Linked Survey and Administrative Data. academic.oup.com
  7. Goldin, Lurie and McCubbin, Quarterly Journal of Economics 136(1): Health Insurance and Mortality: Experimental Evidence from Taxpayer Outreach. academic.oup.com
  8. Baicker and others, New England Journal of Medicine 368: The Oregon Experiment: Effects of Medicaid on Clinical Outcomes. nejm.org
  9. Gaffney, Himmelstein and Woolhandler, Annals of Internal Medicine: Projected Effects of Proposed Cuts in Federal Medicaid Expenditures on Medicaid Enrollment, Uninsurance, Health Care, and Health. acpjournals.org
  10. Finkelstein, Hendren and Luttmer, Journal of Political Economy 127(6): The Value of Medicaid: Interpreting Results from the Oregon Health Insurance Experiment. journals.uchicago.edu
  11. Commonwealth Fund: The Impact of Proposed Federal Medicaid Work Requirements on Hospital Revenues and Financial Margins. commonwealthfund.org
  12. Georgetown University Center for Children and Families: New CBO Health Coverage Estimates of Budget Reconciliation Law. ccf.georgetown.edu
  13. Garthwaite, Gross and Notowidigdo, American Economic Journal: Applied Economics 10(1): Hospitals as Insurers of Last Resort. aeaweb.org

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